Results 101 to 110 of about 12,017 (266)

First‐Principles Investigation of the Structural, Electronic, Optical, Elastic, and Thermal Properties of Defect Diamond‐Like Hg3P2S8

Advanced Physics Research, EarlyView.
The defect diamond‐like material Hg3P2S8 (HPS) is systematically investigated using first‐principles methods to reveal the interplay between highly distorted HgS4 and rigid PS4 units. The HPS material exhibits a strong anisotropic second‐harmonic generation (SHG) response, favorable optical properties, and low thermal conductivity, highlighting its ...
Saravana Karthikeyan SKS, Sankar Ganesh Ramaraj, Ryo Watanabe, Choji Fukuhara, Chang Yi Kong   +4 more
wiley   +1 more source

RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing

CoRR
Out-of-distribution (OOD) detection represents a critical challenge in remote sensing applications, where reliable identification of novel or anomalous patterns is essential for autonomous monitoring, disaster response, and environmental assessment. Despite remarkable progress in OOD detection for natural images, existing methods and benchmarks remain ...
Chenhao Wang, Yingrui Ji, Yu Meng, Yunjian Zhang, Yao Zhu   +4 more
openaire   +2 more sources

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

Semisupervised Classification of Remote Sensing Images With Hierarchical Spatial Similarity [PDF]

A semisupervised kernel deformation function, including spatial similarity, is proposed for the classification of remote sensing (RS) images. The method exploits the characteristic of these images, in which spatially nearby points are likely to belong to
Zhang, Zheng, Tang, Ping, Tuia, Devis, Huo, Lian-Zhi   +3 more
core   +1 more source

Some Aspects of Research for Reclamation of Asphalt Based on Remote Sensing (RS)

COMPUTATIONAL RESEARCH PROGRESS IN APPLIED SCIENCE & ENGINEERING, 2022
Shova R Bhattarai, Mahdi Feizbahr
openaire   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image Understanding

CoRR
The remote sensing image intelligence understanding model is undergoing a new profound paradigm shift which has been promoted by multi-modal large language model (MLLM), i.e. from the paradigm learning a domain model (LaDM) shifts to paradigm learning a pre-trained general foundation model followed by an adaptive domain model (LaGD). Under the new LaGD
Linrui Xu, Ling Zhao 0005, Wang Guo, Qiujun Li, Kewang Long, Kaiqi Zou, Yuhan Wang, Haifeng Li 0007   +7 more
openaire   +2 more sources

The ORCA‐TWIN qCMOS Experiment I. Science Case and Commissioning at Calar Alto Observatory

Astronomische Nachrichten, EarlyView.
ABSTRACT We describe a pilot study to explore a new generation of fast and low noise CMOS image sensors for time domain astronomy, using two remote telescopes with a baseline of 1635 km. The experiment involves direct imaging with novel qCMOS image sensor technology that combines fast readout with sub‐electron readout noise.
Martin M. Roth, Paško Roje, Stella Vješnica, Stefan Cikota, Alex J. Brown, Mike Kretlow, Marco Azzaro, Santiago Reinhart, Jesús Aceituno, Harry Dawson, Carsten Denker, Torsten Enßlin, Stephan Geier, Thomas Granzer, Thomas Kupfer, Gianluca Li Causi, Samaya Nissanke, José Luis Ortiz, Fernando Pedichini, Katja Poppenhäger, Axel Schwope   +20 more
wiley   +1 more source

How wildlife respond to tropical cyclones: short‐term tactics and long‐term impacts

Biological Reviews, EarlyView.
ABSTRACT From butterflies to lizards and from sharks to seabirds, wildlife exhibit tactics to survive the impacts of tropical cyclones, also known as hurricanes, cyclones, or typhoons depending on where they occur. Some species seek refuge during the storm by moving, some remain in place and ride it out, and others move longer distances, avoiding the ...
Erin L. Koen, Mohamed Khalil Meliane, Zachery B. Holmes, Karl E. Miller, William J. Barichivich, Emilie Dedeban, Alex Furst, Miranda Imeri, Peyton E. Niebanck, Samantha Nunn, Kailee Pearson, Nicole Rita, Brier Ryver, Dakotah Shaffer, Susan C. Walls, E. Hance Ellington   +15 more
wiley   +1 more source

Textural and Rule-based Lithological Classification of Remote Sensing Data, and Geological Mapping in Southwestern Prieska Sub-basin, Transvaal Supergroup, South Africa [PDF]

, 2010
Although remote sensing has been widely used in geological investigations, the lithological classification of the area interested, based on medium-spatial and spectral resolution satellite data, is often not successful because of the complicated ...
Li, Na
core